Best Enterprise Data Backup Solutions

Backup software offers protection for business data by copying data from servers, desktops, database and other devices in case user error, corrupt files, or physical disaster render a business’ critical data inaccessible.

Find the Best Data Backup solutions for your business :

Commvault - Commvault software delivers a comprehensive approach to storing, managing and protecting both structured and unstructured data.

It will help you to get your data to the cloud and protect it both easily and efficiently way. Commvault Support for more than 25 cloud storage platforms and Quickly recover, access and leverage data across the enterprise. It Support for multi-vendor storage environments - no vendor lock-in.

Dell EMC - Protect your IT environment with leading Dell EMC data protection appliances. Deployment options include protection storage, integrated appliances and software-defined solutions that can run in the cloud. Dell EMC data protection solutions protect business-critical data with proven backup and recovery, data archiving, and cloud backup software. Dell EMC's best-in-class replication, snapshot, backup, and archive solutions.

VERITAS - Veritas offers complete backup solutions empowering enterprises to keep their data secure and maintain business continuity. Veritas data protection solutions enable you to protect and recover maximum information across a multitude of platforms, storage environments or hybrid cloud architectures.

NETAPP - NETAPP backup solutions delivers modern backup and recovery to keep business data safe and accessible on premises. It also supports the best practice of encrypting tape and disk for backup and disaster recovery storage risk management.  

Veeam - Veeam helps your business achieve data protection for all the workloads like physical, virtual and cloud. Veeam delivers Availability for any app, any data, across any cloud, reducing complexity and out-performing legacy backup solutions. Veeam enables you to attain your SLAs for low recovery time and recovery point objectives for all the applications and data.

NETGEAR - NETGEAR cloud solutions allow you to easily install and manage geographically disparate systems and configure off-site backup and data recovery. Replicating data via the cloud is perfect for a fast-growing and resource-stretched business looking for an efficient, secure backup and recovery solution.

NETGEAR is the only SMB vendor offering an easy-to-use replication solution for disaster recovery and branch office backup that is centrally initialized and managed via a web interface.

QNAP - QNAP NAS backup solution should be able to do Incremental Backup as well as Differential Backup to save disk space. QNAP offers easy solutions for users to backup from their QNAP NAS to a device at a remote location. Backup your data in real-time with QNAP’s RTRR (Real-time Remote Replication) service, or use the industry standard rsync protocol.

Hewlett Packard Enterprise - Commvault announced the integration of Commvault complete Backup & Recovery software and Hewlett Packard Enterprise (HPE) which also include integration with HPE StoreOnce Catalyst. From this joint solution, Commvault is used to manage the full cycle of data management operations.

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http://blog.aditmicrosys.com/best-enterprise-data-backup-solutions/

Trending Big Data Tools and Technologies

Big data is the rapid expansion of structured, unstructured and semi-structured data generated mostly from internet-connected devices. Big Data helps companies to enhance operations and make faster, more intelligent decisions. The data collection is from a number of sources including applications, database, mobile devices, servers, etc. This data is stored, formatted and analyzed which helps the company to increase revenues and improve operations.

Big data is defined by volume, velocity, and variety. The main part of big data is that it is not restricted to a limited industry. These technologies can be used to access and interpret data across different industries such as Security, Banking, Healthcare and many more.

Big Data Tools You Need To Know :

Apache Hadoop - Apache Hadoop is One of the most popular and immensely distributed big data analytics tools. Hadoop offers massive storage for all kinds of data which can be either structured or unstructured. This framework runs in parallel on a cluster and has an ability to allow us to process data across all the nodes. 

Apache Spark - Apache Spark is an open-source processing engine for Hadoop. Apache Spark is used for running large-scale data analytics applications across clustered computers. It can handle both batch real-time analytics and data processing workloads. It includes an extensive workload which is used for iterative, interactive and batch data computing. 

MongoDB -MongoDB is built to tackle immense amounts of data with ease and it is famous because of its storage capacity and its role in the MEAN software stack. MongoDB is mainly used for its high scalability and presentation. MongoDB arrives as the perfect tool to store and analyze big data and develop the applications.

Apache Storm - Apache Storm is an open source distributed real-time computation system and it can be used with or without Hadoop. Any big data tools list is incomplete without Apache Storm. It is extremely easy to use and can be configured with any programming language that the end user is comfortable with.

Cassandra - Apache Cassandra is behind Facebook’s success as it allows to process structured data sets distributed across a huge number of nodes across the globe. It is Used by many industry players like Cisco, Netflix, Twitter and many more. Key benefits of Cassandra are its robustness, flexibility, scalability, and latency.

Kafka: Kafka is open source, scalable and secure platform. It is a bridge between several open sources systems like Spark, NiFi and third-party tools. The conversation between the clients and the servers is very simple and it's done with the language TCP protocol.

Read more: http://blog.aditmicrosys.com/trending-big-data-tools-and-technologies/